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Predictability is the degree to which a correct prediction or forecast of a system's state can be made, either qualitatively or quantitatively.
Auto-antonym: A word that is encoded with opposing meanings. Absurdity; Excusable negligence: If a behavior is excusable, it is not negligence. Gödel's incompleteness theorems: and Tarski's undefinability theorem; Ignore all rules: To obey this rule, it is necessary to ignore it. Impossible object: A type of optical illusion.
An antonym is one of a pair of words with opposite meanings. Each word in the pair is the antithesis of the other. A word may have more than one antonym. There are three categories of antonyms identified by the nature of the relationship between the opposed meanings.
Individual random events are, by definition, unpredictable, but if there is a known probability distribution, the frequency of different outcomes over repeated events (or "trials") is predictable. [note 1] For example, when throwing two dice, the outcome of any particular roll is unpredictable, but a sum of 7 will tend to occur twice as often ...
This category is not for articles about concepts and things but only for articles about the words themselves.Please keep this category purged of everything that is not actually an article about a word or phrase.
(Akasha is a Sanskrit word meaning "sky", "space" or "aether") In the religion of theosophy and the philosophical school called anthroposophy, the Akashic records are a compendium of all universal events, thoughts, words, emotions and intent ever to have occurred in the past, present, or future in terms of all entities and life forms, not just ...
The predictability of the word's visual form (but not the predictability of its meaning) affected the amplitude of the M100. There is ongoing controversy about whether this M100 effect is related to the early left anterior negativity (eLAN), an event-related potential response to words that is theorized to reflect the brain's assignment of ...
Predictive analytics, or predictive AI, encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.